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Stories je český technologický startup, který využíval umělou inteligenci na automatickou analýzu velkých dat. Startup byl v roce 2018 koupený americkou společností Workday, Inc. Podle českého Forbesu šlo o jeden ze zásadních exitů české startupové historie.
The analysis highlights Historie, Technologie and Overview as prominent areas in the source structure around Stories.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Výchozí body odvozené z tematického grafu a seřazené nezávisle na pořadí ve zdrojovém článku.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Stories shows recurring relationship patterns in the source. For example, Stories → Alchemist Acceleratoru, Cloudový, Filip Doušek, Inc, Jejich, Logio, Peter Fedoročko, Prioritizované, Silicon Valley, Umožňoval, Vojta Roček, Workday Another extracted example is Stories → Gartner, Gartner Cool Vendor, Oproti, Tak, USA. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
roce workday 2018 startup analýzu dat společností 2016 historie společnost jako firmy umělou inteligenci velkých americkou inc ze 24 června
TTTA extracted 22 structured relationships around Stories. Examples in this analysis include Stories → Adresa sídla → Italská 2584/69, Praha, 120 00, Česko and Stories → Datum založení → 24. června 2016. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Stories | Adresa sídla | Italská 2584/69, Praha, 120 00, Česko | 1.00 | infobox |
| Stories | Datum založení | 24. června 2016 | 1.00 | infobox |
| Stories | IČO | 05193567 | 1.00 | infobox |
| Stories | OpenCorporates ID | cz/05193567 | 1.00 | infobox |
| Stories | Právní forma | společnost s ručením omezeným | 1.00 | infobox |
| Stories | related to Historie | Filip Doušek | 0.60 | section |
| Stories | related to Historie | Vojta Roček | 0.60 | section |
| Stories | related to Historie | Peter Fedoročko | 0.60 | section |
| Stories | related to Historie | Jejich | 0.60 | section |
| Stories | related to Historie | Umožňoval | 0.60 | section |
| Stories | related to Historie | Cloudový | 0.60 | section |
| Stories | related to Historie | Prioritizované | 0.60 | section |
The concept neighborhoods around Stories bring nearby vocabulary together. In this analysis, examples include Analýzu, Dat and Workday. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Stories, one of the stronger structural bridges in this analysis connects Stories with Historie. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Stories to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Technologie & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Stories · CS edition · Analysis: TopicsToTalkAbout